Fix: Screenpipe High CPU Usage on Mac

L
by LUCI Team
Fix: Screenpipe High CPU Usage on Mac

Fan spinning, laptop hot, Activity Monitor shows screenpipe sitting well over 100% CPU — sometimes north of 10GB of RAM — and the app's own status still reports "healthy." That combination is exactly what got reported to the maintainers, not a one-off on your machine.

TL;DR

  • This is a known, open issue with no single confirmed root cause — it is workload-dependent.
  • FPS, OCR, multi-monitor setups, and debug builds all make it worse.
  • There are real mitigations. There is no setting that makes 24/7 screen OCR free.

What people are saying

The clearest report is on the project's own tracker: a user measured Screenpipe using "over 100% CPU and more than 10 GB RAM" while the health check still reported everything fine — see screenpipe#183. No maintainer has posted a definitive root cause in that thread; it is explicitly workload-dependent (frame rate, OCR load, number of monitors, debug vs. release build). Separately, on Reddit, a commenter sizing up Rewind alternatives called Screenpipe's memory footprint "enormous" at 4GB just to run — r/macapps thread.

Why this keeps biting you

Screenpipe's pitch is also its cost center: it is a DIY, always-on capture pipeline running entirely on your own hardware. Every frame gets grabbed, OCR'd, and written to a local database, continuously, with no cloud to offload the work to. That is the whole point of an open-source local tool — but it means your laptop is doing the job a data-center GPU does for a cloud notetaker. Multiple monitors multiply the frame count. High FPS multiplies it again. A debug build (rather than a release binary) adds overhead on top of that. There is no cloud service quietly absorbing the load; your CPU is the cloud.

Fix it in Screenpipe first

  1. Confirm you're on a release build, not a debug build. Debug builds carry real overhead — reinstall from the official release if you built from source.
  2. Lower capture FPS. Launch with a reduced frame rate flag, e.g. --fps 0.5, instead of the default.
  3. Disable vision if you only need audio. --disable-vision cuts OCR entirely, which is usually the biggest single cost.
  4. Cut monitor count. If you run two or three displays, restrict capture to the one that matters.
  5. Update to the current release. The maintainers have ongoing CPU/memory optimization work across releases — an old build is carrying bugs later versions fixed.
  6. Check Activity Monitor before and after each change, one at a time, so you know which flag actually helped.

If CPU is still pegged after all six steps, that is a real report worth filing on screenpipe#183 — not a sign you set it up wrong.

Stay or switch

JobStay with ScreenpipeSwitch to LUCI
You want to script your own OCR pipeline and don't mind tuning flagsYes — that control is the productNo, LUCI doesn't expose that layer
You need 24/7 screen logging on a machine you don't mind running hotYesLUCI is more selective by default
You want screen + meeting memory that doesn't need FPS tuning to stay usableNoYes
You want an agent that can act on what it remembers, not just a searchable logNoYes

What to do next

Every hour Screenpipe spends pegging your CPU is an hour you're not searching your own screen history — you're waiting for a fan to spool down. If tuning flags and rebuilding from release isn't where you want to spend your afternoon, LUCI does on-device understanding without the manual FPS math. See the full LUCI vs Screenpipe comparison or the complete list of Screenpipe alternatives.

See for yourself.

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